The Development of Key Technologies in Applications of Vessels Connected to the Internet

Tian, Zhe; Liu, Fushun; Li, Zhixiong; Malekian, Reza; Xie, Yingchun

doi:10.3390/sym9100211

Cited by 28 publications

(19 citation statements)

References 41 publications

(43 reference statements)

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“…Table 3 provides a comparative analysis of the associated geopolitical risk arising from related IoT threat incidents. [28] technology because of its relevance to maritime territorial disputes in the South China Sea. UV technology highlights a number of growing roles in monitoring territorial disputes at sea that include intelligence, surveillance and reconnaissance (ISR), maritime surveillance, disaster relief, combat application missions, and military communication relay capabilities [29].…”

Section: B Geopolitical Issues and Adversariesmentioning

confidence: 99%

IoT Technological Development: Prospect and Implication for Cyberstability

Anawar¹,

Zakaria²,

Masu’d³

et al. 2019

ijacsa

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Failure to address the risk poses by future technological development could cause devastating damage to public trust in the technologies. Therefore, ascendant technologies such as artificial intelligence are the key components to provide solutions for new cybersecurity threats and strengthen the capabilities of the future technological developments. In effect, ability of the technologies to prevent and withstand a cyber-attack could become the new deterrence. This paper will provide gaps to guide the government, industry, and the research community in pursuing Internet of Things (IoT) technological development that may be in need of improvement. The contribution of this paper is as follows: First, a roadmap that outline security requirements and concerns of future technology and the significant of IoT technology in addressing the concerns. Second, an assessment that illustrates the expected and unexpected impact of future technology adoption and its significant geopolitical implication on potential impacted areas such as regulatory, legal, political, military, and intelligence.

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Section: B Geopolitical Issues and Adversariesmentioning

confidence: 99%

IoT Technological Development: Prospect and Implication for Cyberstability

Anawar¹,

Zakaria²,

Masu’d³

et al. 2019

ijacsa

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“…Two papers on smart transportation are included as follows: (1) "An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships", by He et al [46]; and (2) "The development of key technologies in applications of vessels connected to the Internet", by Tian et al [47].…”

Section: Smart Transportationmentioning

confidence: 99%

“…Some IoV applications included the intelligent navigation of ships (e.g., unmanned ships), the intelligent management and service of vessels (e.g., electronic freight), and traffic flow prediction were summarized and presented for the demonstration of IoV trending topic. Furthermore, this study discussed IoV challenges and prospects, including safety mechanisms and transmission for the waterway traffic information, and advanced intelligent terminals for the illustration of future work [47].…”

Section: Smart Transportationmentioning

confidence: 99%

Introduction to the Special Issue: Applications of Internet of Things

et al. 2018

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This editorial introduces the special issue, entitled “Applications of Internet of Things”, of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) “Reliability of improved cooperative communication over wireless sensor networks”, by Chen et al.; (2) “User classification in crowdsourcing-based cooperative spectrum sensing”, by Zhai and Wang; (3) “IoT’s tiny steps towards 5G: Telco’s perspective”, by Cero et al.; and (4) “An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios”, by Parada et al. One paper on data science techniques and applications is as follows: “Internet of things: a scientometric review”, by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) “An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships”, by He et al.; and (2) “The development of key technologies in applications of vessels connected to the Internet”, by Tian et al. Two papers on smart home are as follows: (1) “A novel approach based on time cluster for activity recognition of daily living in smart homes”, by Liu et al.; and (2) “IoT-based image recognition system for smart home-delivered meal services”, by Tseng et al.

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“…Although shipping has proven to be the most energy efficient mode for mass transport, emissions from ship engines are harmful to the environment at both regional and global scales [1,2]. The International Maritime Organization (IMO) has introduced a number of measures designed to reduce exhaust emissions from global shipping [3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Vessel Emissions Inventory in Qingdao Port Based on Big data Analysis

et al. 2018

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Exhaust emissions from vessels have increasingly attracted attention in the continuously growing marine transport world trade market. The International Maritime Organization (IMO) has introduced a number of measures designed to reduce exhaust emissions from global shipping. As one of the busiest ports in the world, Qingdao port has been studied to propose possible support to the development of efficient emission reduction. In this study, a large amount data of emissions inventory in Qingdao port was used to predict its annual exhaust emissions, and hence, to help understand maritime pollution in Qingdao port. Bigdata analysis methodology was employed to perform accurate predictions on vessel emissions. The analysis results show that the emissions were dominated by container ships, oil tankers, and bulk cargo ships. The comparison between Qingdao port and other ports in emission control areas demonstrates the necessity of control measures for exhaust emissions. The adoption of shore power and efficient cargo handling seems to be a potential solution to reduce exhaust emissions. The findings of this study are meaningful for maritime safety administration to understand the current emission situation in Qingdao port, propose corresponding control measures, and perform pollution prevention.Symmetry 2018, 10, 452 2 of 11 technical data for regional ships and national sea transport, and the establishment of new specific fuel consumption (SFC) figures and emission factors for ship engines in general.Currently, the activity-based method has been applied for emission prediction in vessels [8]. Jalkanen et al. [9] computed the exhaust emissions of marine traffic in the Baltic Sea area based on the relationship of the instantaneous speed to the design speed, and the detailed technical information of the engines of the ships. An in-port ship activity-based methodology was applied by Tzannatos [10] for maneuvering and berthing of coastal passenger ships and cruise ships calling at the passenger port of Piraeus (Greece), in order to estimate the emission of the main ship exhaust pollutants (NO X , SO 2 , and PM 2.5 ) over a twelve-month period in 2008 and 2009. Shipping emissions in Candarli Gulf, Turkey, were calculated based on the energy consumptions of ships for every different stage which was called operation modes (cruising, maneuvering and hotelling), and detailed real-time activity data were used for calculations of shipping emissions in this study [11]. To estimate the exhaust emission from ocean-going vessels in Hong Kong, Yau et al. [12] collected complete data sets of ship activities, including arrival, departure, and activities during shifts between berths within the Hong Kong territory. The operational modes, including cruising, slow cruising in reduced speed zones, maneuvering and hotelling, were categorized based on the vessel speeds. Another Automatic Identification System (AIS) based emission inventory in Tianjin Port using a bottom-up approach was developed in 2016 [13]. The inter-monthly emission variations ...

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The Development of Key Technologies in Applications of Vessels Connected to the Internet

Cited by 28 publications

References 41 publications

IoT Technological Development: Prospect and Implication for Cyberstability

IoT Technological Development: Prospect and Implication for Cyberstability

Introduction to the Special Issue: Applications of Internet of Things

Estimation of Vessel Emissions Inventory in Qingdao Port Based on Big data Analysis

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